BARTL, David and Jaroslav RAMÍK. Indexes of Desirable Properties of a Pairwise Comparison Matrix with Fuzzy Elements. In 40th International Conference Mathematical Methods in Economics 2022: Book of Abstracts: College of Polytechnics Jihlava: 7 – 9 September 2020: Jihlava, Czech Republic. 2022. ISBN 978-80-88064-61-9.
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Original name Indexes of Desirable Properties of a Pairwise Comparison Matrix with Fuzzy Elements
Authors BARTL, David (203 Czech Republic, belonging to the institution) and Jaroslav RAMÍK (203 Czech Republic, belonging to the institution).
Edition 40th International Conference Mathematical Methods in Economics 2022: Book of Abstracts: College of Polytechnics Jihlava: 7 – 9 September 2020: Jihlava, Czech Republic, 2022.
Other information
Original language English
Type of outcome Conference abstract
Field of Study 10102 Applied mathematics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW URL URL
RIV identification code RIV/47813059:19520/22:A0000362
Organization unit School of Business Administration in Karvina
ISBN 978-80-88064-61-9
Keywords in English multi-criteria optimization; Analytic Hierarchy Process (AHP); pairwise comparison matrix; fuzzy elements; consistency; intensity; coherence; priority vector; alo-group
Tags International impact, Reviewed
Links GA21-03085S, research and development project.
Changed by Changed by: doc. RNDr. David Bartl, Ph.D., učo 52172. Changed: 2/12/2023 18:37.
Abstract
In the Analytic Hierarchy Process (AHP), pairwise comparisons are used to quantify the relative importance of the elements, i.e. the criteria and/or alternatives. Fuzzy elements are appropriate whenever the decision maker is uncertain about the value of his/her evaluation of the relative importance of the elements in question. In this paper, we deal with the general case when the elements of the pairwise comparison matrix are fuzzy subsets of an Abelian linearly ordered group (alo-group). We then propose some desirable properties – consistency, intensity, and coherence – of the fuzzy pairwise comparison matrix and we also propose indexes to measure these desirable properties. Based on these indexes, a new solution algorithm to find the priority vector satisfying these desirable properties can be formulated.
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